LETTER doi:nature14236 Human-level control through deep reinforcement learning

First Page		Document Content
Date: 2016-09-12 10:19:54 Artificial intelligence Computational neuroscience Machine learning Learning Machine learning algorithms Artificial neural networks Cybernetics Q-learning Reinforcement learning Convolutional neural network DQN DeepMind		LETTER doi:nature14236 Human-level control through deep reinforcement learning Add to Reading List Source URL: storage.googleapis.com Download Document from Source Website File Size: 4,39 MB Share Document on Facebook

	Feature Extraction and Classification of Multispectral Imagery by Using Convolutional Neural Network Atsushi Yoshihara Tetsuya Takiguchi DocID: 1vq1B - View Document
	Accelerating the Super-Resolution Convolutional Neural Network Chao Dong, Chen Change Loy, and Xiaoou Tang Department of Information Engineering, The Chinese University of Hong Kong {dc012,ccloy,xtang}@ie.cuhk.edu.hk DocID: 1v9wb - View Document
	Fully Convolutional Neural Network for 3D Stroke Lesion Segmentation Miguel Monteiro1? and Arlindo L. Oliveira2 1 2 DocID: 1uXCi - View Document
	Deep Convolutional Neural Network Approach for Brain Lesion Segmentation Youngwon Choi? , Yongchan Kwon? , Hanbyul Lee? , Myunghee Cho Paik? , and Joong-Ho Won?? Department of Statistics, Seoul National University, Seoul DocID: 1uPDT - View Document
	Deep Convolutional Neural Network for the Detection of Attentive Mental State in Elderly Fatemeh Fahimi1*, Zhuo Zhang2, Tih-Shih Lee3, Cuntai Guan1 1 2 DocID: 1uHQ0 - View Document